Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With only readOnlyHint=true as annotation coverage, the description carries the full burden and does so richly: it discloses the continuation-vs-grant TRAP, that an unreachable store is REFUSED with DATA_UNAVAILABLE (never a false count 0), that data freshness equals the last on-demand ingest, and the attribution boundary where `ticker` is not a USPTO field. This is exactly the extra behavioral context annotations don't provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Dense but front-loaded: purpose first, then return shape, then limit semantics, then the trap, then provenance/attribution. Every sentence adds distinct information, though the heavy capitalization and length make it more of a wall of caveats than a lean definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 2-param tool with no output schema, the description spells out the return shape ({summary, ticker, count, filings}), ordering (NEWEST FIRST), the meaning of `count`, freshness, failure behavior, and licensing/attribution. Nothing an agent needs to call or interpret this is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so both `limit` and `ticker` are already documented in the schema. The description largely restates the limit default/cap and clarifies that `count` reflects filings returned rather than total hits, which is marginal added value. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Recent USPTO patent filings') plus the analytical intent ('innovation-intensity diligence'), and the resource (patent filings) is clearly distinct from every sibling, which cover 13F, bonds, BDC, insider, etc. An agent can tell instantly what this returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Frames the use case (innovation-intensity diligence) and constrains scope ('recent slice, never a full portfolio') so the agent knows what question it answers. It doesn't name an explicit alternative tool or exclusion condition, but no sibling overlaps, so guidance is clear without being exhaustive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.